
HR director
Hiring, learning, engagement and attrition in one analytics view, without stitching together exports from three systems.
Recruiting, learning, performance, engagement and self-service in one product. White-label, 4 languages, data residency.

A single HR system (HRM) on shared data and permissions: no patchwork of integrations, no double data entry. Everything for HR automation, from a hiring request to engagement analytics.
Hiring pipeline, publishing and application import from hh.kz, an SEO career site and AI resume screening.
Onboarding plans with 30/60/90 milestones and live progress.
Courses, paths, certificates and skill-gap analysis by position.
Review cycles, 360°, goals and 9-box calibration.
Question banks, assignments and proctoring.
Survey builder with k-anonymity and analytics.
Pulse surveys, happiness index, drivers and alerts.
Points, badges, a reward shop and peer recognition.
Legal entities, units and positions; staffing table and the T-3 form.
Electronic orders with approval routes and full history.
Contract and addendum registry with a full lifecycle.
Kazakhstan production calendar, leave types, working-day calculation.
Profile, requests with approval routes, documents and certificates.
Notification center: in-app feed, email and messaging apps as providers are added.
Cross-module KPIs, trends and exports across modules.
REST and OpenAPI, signed outbound events (HMAC).
Every role gets its own entry point into the product: its own screens, its own permissions, its own notifications. Configured by the role model, not by separate installs.

Hiring, learning, engagement and attrition in one analytics view, without stitching together exports from three systems.

Runs the pipeline, collects applications from hh.kz and the career site, gets AI resume screening for the role.

Approves requests and HR orders, runs onboarding for new hires and performance reviews for the team.

Files requests, takes courses, checks the leave balance and onboarding tasks in self-service.
Rollout follows your processes, not an out-of-the-box default. We deploy the instance, migrate the data and switch modules on one at a time.
We look at how hiring, approvals and HR records work today, then agree what moves over as is and what gets simplified.
A separate app and database in your country or inside your perimeter. We set up the brand, roles, org structure and reference data.
We start with one process, get it working properly, then connect the next. Your team learns on live work, not on a manual.
Not AI for AI’s sake, but concrete scenarios inside real workflows.
Claude by default; in self-hosted mode data stays inside your perimeter.
For Kazakhstan, data residency is a requirement, not an option. So isolation is built into the architecture, not bolted on.
Customer perimeter
Personal data never leaves the perimeter: only job postings and notifications go out.
External services
A separate app and database for each customer.
The LLM gateway runs inside your perimeter; data never leaves it.
RBAC/ABAC and data scopes, MFA (TOTP), an immutable audit trail, RFC 7807 errors.
PII stored in Kazakhstan (KZ Law 94-V), TLS 1.3 and AES-256-GCM for sensitive data.
The instance runs wherever your security policy allows: in a Kazakhstan data center, in a dedicated cloud, or entirely inside your own perimeter.
Application and database in a Kazakhstan data center. Updates and backups are on us.
A separate isolated instance for your company: your own resources, your own domain, your own update schedule.
Installed inside your perimeter, self-hosted AI gateway included. Data never leaves your infrastructure.
Logo, colors, fonts and even terminology are configured via config and theme. One codebase, many instances, core updates without losing your customizations.
The product, data, languages and rollout in brief.
A unified HR platform for Kazakhstan: recruiting, onboarding, learning, performance, surveys, rewards, HR document workflow and self-service in one product. Delivered as an isolated instance per customer.
Data is hosted in Kazakhstan under Law 94-V: a separate app and database per customer, TLS 1.3 and AES-256-GCM encryption for sensitive data, and an immutable audit trail.
Russian, Kazakh, Uzbek (Latin and Cyrillic) and English. Full localization of the interface and content.
Yes. Logo, colors, fonts and terminology are configured via config and theme, with no code fork. One codebase, many instances, core updates without losing your customizations.
The model is an isolated instance per customer; price depends on the module set and scale. Request a demo and we will walk through the platform on your scenarios and quote the terms.
Yes. AI scenarios (resume screening, a RAG assistant over your policies, learning summaries) run on Claude by default; in self-hosted mode data stays inside your perimeter and the assistant performs actions only after your confirmation.
Recruiting (ATS), onboarding, learning (LMS), performance, assessments, surveys, eNPS, rewards, org structure and staffing table, HR document workflow, employment contracts, time and leave, analytics, notifications and self-service, all running on shared data and permissions.
Yes. The platform is designed for an isolated install inside the customer perimeter (on-prem) with a self-hosted AI gateway. Data never leaves your perimeter.
We will walk through the platform on your scenarios and answer questions in 30 minutes.
